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Antidepressants for the treatment of depression in people with cancer

Overview of attention for article published in Cochrane database of systematic reviews, June 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
11 news outlets
blogs
3 blogs
twitter
71 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Antidepressants for the treatment of depression in people with cancer
Published in
Cochrane database of systematic reviews, June 2015
DOI 10.1002/14651858.cd011006.pub2
Pubmed ID
Authors

Giovanni Ostuzzi, Faith Matcham, Sarah Dauchy, Corrado Barbui, Matthew Hotopf

Abstract

Major depression and other depressive conditions are common in people with cancer. These conditions are not easily detectable in clinical practice, due to the overlap between medical and psychiatric symptoms, as described by diagnostic manuals such as the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD). Moreover, it is particularly challenging to distinguish between pathological and normal reactions to such a severe illness. Depressive symptoms, even in subthreshold manifestations, have been shown to have a negative impact in terms of quality of life, compliance with anti-cancer treatment, suicide risk and likely even the mortality rate for the cancer itself. Randomised controlled trials (RCTs) on the efficacy and tolerability of antidepressants in this population group are few and often report conflicting results. To assess the effects and acceptability of antidepressants for treating depressive symptoms in adults (18 years or older) with cancer (any site and stage). We searched the following electronic bibliographic databases: the Cochrane Central Register of Controlled Trials (CENTRAL 2014, Issue 3), MEDLINE Ovid (1946 to April week 3, 2014), EMBASE Ovid (1980 to 2014 week 17) and PsycINFO Ovid (1987 to April week 4, 2014). We additionally handsearched the trial databases of the most relevant national, international and pharmaceutical company trial registers and drug-approving agencies for published, unpublished and ongoing controlled trials. We included RCTs allocating adults (18 years or above) with any primary diagnosis of cancer and depression (including major depressive disorder, adjustment disorder, dysthymic disorder or depressive symptoms in the absence of a formal diagnosis) comparing antidepressants versus placebo, or antidepressants versus other antidepressants. Two review authors independently checked eligibility and extracted data using a form specifically designed for the aims of this review. The two authors compared the data extracted and then entered data into RevMan 5 with a double-entry procedure. Information extracted included study and participant characteristics, intervention details, outcome measures for each time point of interest, cost analysis and sponsorship by a drug company. We used the standard methodological procedures expected by The Cochrane Collaboration. We retrieved a total of nine studies (861 participants), with seven studies contributing to the meta-analysis for the primary outcome. Four of these compared antidepressants and placebo, two compared two antidepressants and one-three armed study compared two antidepressants and a placebo arm. For the acute phase treatment response (6 to 12 weeks), we found very low quality evidence for the effect of antidepressants as a class on symptoms of depression compared with placebo when measured as a continuous outcome (standardised mean difference (SMD) -0.45, 95% confidence interval (CI) -1.01 to 0.11, five RCTs, 266 participants) or as a proportion of people who had depression (risk ratio (RR) 0.82, 95% CI 0.62 to 1.08, five RCTs, 417 participants). No trials reported data on the follow-up response (more than 12 weeks). In head-to-head comparisons we only retrieved data for selective serotonin reuptake inhibitors (SSRIs) versus tricyclic antidepressants, providing very low quality evidence for the difference between these two classes (SMD -0.08, 95% CI -0.34 to 0.18, three RCTs, 237 participants). No clear evidence of an effect of antidepressants versus either placebo or other antidepressants emerged from the analyses of the secondary efficacy outcomes (dichotomous outcome, response at 6 to 12 weeks, very low quality evidence). We found very low quality evidence for the effect of antidepressants as a class in terms of dropouts due to any cause compared with placebo (RR 0.87, 95% CI 0.49 to 1.53, six RCTs, 455 participants), as well as between SSRIs and tricyclic antidepressants (RR 0.83, 95% CI 0.53 to 1.30, three RCTs, 237 participants). We downgraded the quality of the evidence because the included studies were at an unclear or high risk of bias due to poor reporting, imprecision arising from small sample sizes and wide confidence intervals, and inconsistency due to statistical or clinical heterogeneity. Despite the impact of depression on people with cancer, available studies were very few and of low quality. This review found very low quality evidence for the effects of these drugs compared with placebo. On the basis of these results clear implications for practice cannot be made. The use of antidepressants in people with cancer should be considered on an individual basis and, considering the lack of head-to-head data, the choice of which agent should be prescribed may be based on the data on antidepressant efficacy in the general population of individuals with major depression, also taking into account that data on medically ill patients suggest a positive safety profile for the SSRIs. Large, simple, randomised, pragmatic trials comparing commonly used antidepressants versus placebo in people with cancer with depressive symptoms, with or without a formal diagnosis of a depressive disorder, are urgently needed to better inform clinical practice.

Twitter Demographics

The data shown below were collected from the profiles of 71 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 8%
Student > Bachelor 1 8%
Other 1 8%
Unknown 9 75%
Readers by discipline Count As %
Unspecified 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Medicine and Dentistry 1 8%
Unknown 9 75%

Attention Score in Context

This research output has an Altmetric Attention Score of 155. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 June 2017.
All research outputs
#93,207
of 13,600,790 outputs
Outputs from Cochrane database of systematic reviews
#198
of 10,663 outputs
Outputs of similar age
#1,892
of 234,482 outputs
Outputs of similar age from Cochrane database of systematic reviews
#10
of 249 outputs
Altmetric has tracked 13,600,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,663 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 234,482 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.